A system for measuring vertical jump is disclosed, in accordance with one or more embodiments of the present disclosure. The system may include a vane assembly comprising a plurality of vanes movably coupled to an extendable member at a plurality of heights relative to a ground level, each being vane displaceable from an original position to a displaced position in response to contact from a user. The system may also include a measurement device configured to obtain at least one of: a baseline height from a first vane of the plurality of vanes to the ground level; a user height; a user reach; or a displacement height, wherein the displacement height is the height of the uppermost vane in a displaced position relative to the ground level. The system may also include a controller communicatively coupled to the measurement device.

A system for motion analysis includes a sensing device positioned at a knee joint of a bicycle rider, and an electronic device in communication with the sensing device. The electronic device is configured to receive, from the sensing device, a series of pieces of sensed data representing orientations of the sensing device at different times, to determine a motion trajectory of a knee of the rider based on the received pieces of sensed data, and to generate an estimation result regarding correctness of a riding posture of the rider based on the motion trajectory.

There is disclosed a system for conducting multi-member group competitions involving physical exertion, the system includes a competition server that serves to designate a set of parameters for a competition involving at least two competing groups of individuals engaged in physical activity, the set of parameters defining a win condition requiring physical activity to be completed by at least two separate individuals within each group. The system further receives data representative of physical activity of multiple individuals in a first group, receives data representative of physical activity of multiple individuals in a second group, determines whether the win condition has been satisfied by the first group or the second group, and identifies a winner as the first group or the second group that completed the win condition.

Disclosed are implementations of a sensor enabled exercise slider configured to detect movement and applied force. A sensor enabled exercise slider is a limb-actuated, linearly and circularly moveable, apparatus configured to facilitate a variety of exercises. An example limb-actuated exercise slider comprises: a housing that is smoothly slidable across a contacted surface in contact with an undersurface of the housing; and an electronic circuit carried by the housing. The electronic circuit is configured to detect movement of the housing and to detect force applied to a top surface of the housing. In some implementations, the undersurface in contact with the contacted surface has a friction coefficient permitting the sliding.

A projection system includes a control module, a projection tube, an aiming driver, an observation device and an observation driver. The control module is configured to issue a first control command and a second control command. The aiming driver is electrically connected to the projection tube and configured to control, in response to the first control command, a projection viewing-line of the projection tube to be aligned with a calibration point. The observation driver is electrically connected to the observation device and configured to control, in response to the second control command, an observation viewing-line of the observation device to be aligned with the calibration point. The projection tube and the observation device are controlled asynchronously.

A mobile device associated with a user and a smart fitness equipment unit are provided, where the mobile device is a central device and the smart fitness equipment unit is a peripheral device in communication with the mobile device.

A method for updating a treatment plan. The treatment plan is associated with a user using a treatment apparatus to perform the treatment plan. The method includes receiving first data associated with a first diagnosis of the user. The method includes generating, based on the first data, an initial treatment plan to be performed on the treatment apparatus by the user. The method includes receiving second data associated with a first attribute of the user. The method includes generating, via an artificial intelligence engine, a machine learning model trained to generate an updated treatment plan based on the initial treatment plan and the second data.

A mobile exercise device configured to enhance virtual reality experiences is provided. The system generally comprises a harness, top supports, bottom-carrying arms, resistance elements, and attachment elements secured to said resistance elements. In some preferred embodiments, a mechanical arm and/or top-carrying arm may be used to change the position of the resistance elements about a user. The resistance elements are preferably secured to a glove worn by a user, allowing for resistance in multiple directions. In one preferred embodiment, a control system may be used to adjust the tension of the resistance elements. In another embodiment, the system may be configured to operably connect to a gaming system, wherein an actuator operably connected to said resistance elements is responsible for adjusting tension based on actions by a user within a digital environment.

An exercise machine includes a cable. It further includes an interface to a moveable camera device coupled with the exercise machine. It further includes a processor configured to receive a cable-based measurement associated with an exercise performed by a user. The processor is further configured to receive, from the moveable camera device, video information associated with the exercise. The processor is further configured to provide a workout determination based at least in part on both the cable-based measurement and the video information received from the moveable camera device.

A system for ankle rehabilitation includes a motorized platform arranged to hold an ankle of a subject to be rehabilitated; a first sensor module arranged to detect signals representing movement intention of the ankle on the motorized platform; a second sensor module arranged to detect signals representing actual movement of the ankle on the motorized platform; and a processor arranged to process the signals detected by the first sensor module and the signals detected by the second sensor module, for control of movement of the motorized platform.